• Journal of Preventive Medicine and Public Health
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• v.12 no.1
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• pp.61-69
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• 1979

In Korea, the regional differences of medical facilities and man-powers are very serious recently. in order to solve rural medical problem, the comprehensive health care service is required earnestly in rural area. The present study was performed to provide the material for rural medical policy by analyzing the diseases occurring frequently in rural area and assuming the paramedical workers' abilities of medical treatment. The frequently by occurring diseases were classified by investigating. The chief complaints of 4559 subjects through home visiting for last weeks occurred in 1978. The paramedical workers' abilities of medical treatment were investigated by analyzing the clinical charts of patients treated by paramedical workers by systemic health care delivery system from, September 1977 to December 1977. The results obtained are summarized as fellows; 1. The rate of disease suffering recently for 2 weeks was 22.5% in Rural area. 2. The rate of respiratory disease was 36.%, gastrointestinal disease 18%, trauma 8% and neuromuscular disease 7.5%, respectively. 3. The coverage of treatment by health workers was 97.6% in general practitioner, 70% in community health practitioner and 42.1% in community health aid, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2002.05a
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• pp.43-50
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• 2002

Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4％ and up to 6％ were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.5
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• pp.139-150
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• 2007

As computer technology has been rapidly advanced, geographic information system (GIS) is recently used in many disciplines. In this study, for a model area in Seoul, seismic hazard potential relating to site effects, which are influenced by the subsurface geotechnical conditions, was estimated using the GIS tool. The distribution of pre-existing borehole drilling data in Seoul metropolitan area was examined for the regional estimation of site-specific seismic responses at the model area. Spatial geo-layers across the entire model area were predicted by constructing a GIS-based geotechnical information system (GTIS). A microzonation of site period $(T_G)$ for estimating site-specific seismic responses at the model area was performed within the GTIS. The spatial microzoning map of $T_G$ indicated seismic vulnerability of two- to four-storied buildings in the model area. Furthermore, a site classification map for determining the design ground motion was established based on the $T_G$ within the GTIS. This informed that most of location in the model area was categorized into current site classes C and D. This seismic microzonation framework for the model area could be applicable particularly in the entire Seoul metropolitan area based on the pre-existing borehole data.

• Journal of the Korean earth science society
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• v.41 no.1
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• pp.31-39
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• 2020

Cheonji, the largest caldera lake in Asia, is located at the summit of Baekdu Mountain. Cheonji is covered with snow and ice for about six months of the year due to its high altitude and its surrounding environment. Since most of the sources of water are from groundwater, the water temperature is closely related to the volcanic activity. However, in the 2000s, many volcanic activities have been monitored on the mountain. In this study, we analyzed the dimension of ice produced during winter in Baekdu Mountain using Sentinel-1 satellite image data provided by the European Space Agency (ESA). In order to calculate the dimension of ice from the backscatter image of the Sentinel-1 satellite, 20 Gray-Level Co-occurrence Matrix (GLCM) layers were generated from two polarization images using texture analysis. The method used in calculating the area was utilized with the Support Vector Machine (SVM) algorithm to classify the GLCM layer which is to calculate the dimension of ice in the image. Also, the calculated area was correlated with temperature data obtained from Samjiyeon weather station. This study could be used as a basis for suggesting an alternative to the new method of calculating the area of ice before using a long-term time series analysis on a full scale.

• Journal of the Korean earth science society
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• v.41 no.5
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• pp.447-458
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• 2020

This study presents the K-means clustering analysis-based classification of the meteorological patterns affecting the occurrence of high PM₁₀ concentration in the southeastern region of the Korean peninsula for the last five years (2014-2018). Regional differences in Busan, Ulsan, and Gyeongnam related to high PM₁₀ episodes, were clarified through the statistical comparison study using synoptic scale meteorological elements using NCEP (National Centers for Environmental Prediction/FNL (Final Operational Global Analysis) re-analysis meteorological data. Meteorological patterns were classified into a total of five categories (C1-C5). The incidence of each cluster was 24.8% (C1), 21.3% (C2), 20.4% (C3), 17.3% (C4), and 16.2% (C5), respectively. The high PM₁₀ concentration in the southeastern region resulted from long and short range transports (C1, C3, C5) from outside of the region, and the emissions (C2, C4) inside the region. In the high PM₁₀ episodes in Busan, Ulsan, and Gyeongnam regions, meteorological characteristics such as different geopotential height and wind speed at 500 hPa in each cluster and the change in the location of high pressure over Korean Peninsula is strongly associated with the dispersion of PM₁₀ around inventories in the region and the tendency of long-range transportation of PM₁₀ emitted from outside of region.

• KOMUNHWA
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• no.61
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• pp.67-93
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• 2003

The bronze hand knife is classified into 10 types in Liao-Ning and Ji-Lin provinces in the Bronze Ages; Bronze hand knife with hanging knob in the handle(Type A), with handle similar to the kitchen knife handle(Type B), with spoon-shaped ornament on the e

• Health Policy and Management
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• v.18 no.4
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• pp.66-84
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• 2008

Objectives: This study aimed to. offer some fundamental evidences for the stroke management policy by investigating the trends of medical care utilization and regionalization in stroke inpatients. Methods: We used the National Health Insurance claims and registry data for stroke inpatients from 1998 to 2005. Among all stroke inpatient claims data, self-employed insured and their dependents were only included in this study. The classification of stroke was based on ICD-10(I60-I69) and its subtype was divided by hemorrhage(I60-I62) and infarction(I63-I64) type. To evaluate regionalization of medical care utilization, relevance index was calculated by regions. The regions were classified 8 large catchment areas and 163 self authorized areas. Results: The overall medical care utilization rate of stroke inpatient has been increased, especially infarction subtype. Among medical care institutions, the utilization of hospital has been the most rapidly increased. Although considered annual rate of interest, total medical cost of stroke inpatients has been increased, Totally, more than 84% of stroke inpatient were admitted to medical care institutions in their own large catchment area during 1998-2005. The relevance indices in their own large catchment area (self sufficiency rates) were more than 70% in most areas regardless of stroke subtype except Chungbuk catchment area. Self sufficiency rates of stroke inpatients among 163 self authorized areas in 1998 and 2005 were 84.2% and 83.1% in metropolitan, 46.7% and 45.5% in urban, and 19.5% and 22.6% in rural areas, respectively. Conclusion: Stroke management policy for improvement of distribution at the district level, especially in rural areas, may be helpful for reducing regional inequality in stroke.

• Korean Journal of Environmental Biology
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• v.25 no.1
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• pp.56-65
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• 2007

The aim of this study is to provide a fundamental data which can be applied to management conservation, and restoration of coastal sand dune vegetation by determining the classification and distribution of community, and ecological characteristics of the habitat. This research was performed by the Braun-Blanquet's method. The coastal sand dune vegetation of Uido (I.) was composed with 9 communities as follows : Vitex rotundifolia community, Zoysia macrostachya community, Carex kobomugi community, Iachaemum anthephoroides community, Imperata cylindrica var. koenigii community, Carex pumila community, Calystegia soldanella community Messerschmidia sibirica community and Pinus thunbergii community, the evergreen needle-leaved forest. The constancy degree showed high in Calystegia soldanella (77%), Vitex rotundifolia (74%), Carex kobomugi (66%), Zoysia macrostachya (50%) and Imperata cylindrica var. koenigii (47%). However the highest constancy degree Calystegia soldanella has, it turned out to have low net contribution degree (NCD) in each community. In terms of the distribution and growth feature of the composition species in the coastal sand dune, Vitex rotundifolia, Carex kobomuri and Zoysia macrostachya were widely distributed from unstable sand dune to stable one but Iachaemum anthephoroides and Imperata cylindrica var. koenigii were mainly found at the stable sand dune. Carex kobomugi was especially dominant at the unstable sand dune where the sand continued to be deposited. On the other hand, Carer pumila and Messerschmidia sibirica showed regional distributions around fresh water.

• Journal of Preventive Medicine and Public Health
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• v.21 no.2 s.24
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• pp.390-403
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• 1988

The objectives of the study were to provide the basic informations needed in the development of balanced medical services throughout the nation. As the national health care system was expanding rapidly along with the economic growth, quantitative re-evaluation of the system is of great need. For that reason, characteristics of the admitted patients were analyzed for the case-mix and patients' flow within and through regions. Materials were 421,530 cases of inpatients, who were reported through Korea Medical Insurance Corporation(KMIC) for insurance claim, during the period of March 1, 1985 through February 28, 1987. Korean Diagnosis Related Groups(K-DRGs) classification system was adopted for the study of case-mix and 189 cities and counties were classified into 5 district groups by factor analysis results of K-DRGS. The major findings of this study were as follows ; 1) Factor analysis of case-mix, employing K-DRG system, revealed 5 distinct funtional district groups. Group A(18 districts) was prominent for tertiary medical care. In group B(36 districts), rather simple procedures were prevalent. Group C(26 districts) was distinctive for the medical care of well organized internal medicine practices with qualified clinical laboratories. Group D(17 districts) was characterized by relatively high balanced medical care. Group E (92 districts) was with very low level of medical care. 2) Analysis of the case-flow through the districts showed 3 types of flow patterns : inflow, outflow, and balanced types. Inflow type of case-flow was found in Group A, C and D while Group B and E showed outflow type. Inflow was most prominent in Group A and Group E was of typical outflow type. Group B was consistently the outflow type except for Major Diagnostic Category XX regardless of the disease treaters, but Group C and D were inflow or outflow types according to the disease tracers.

• Journal of Korea Technology Innovation Society
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• v.17 no.3
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• pp.467-489
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• 2014

The purpose of this study is to explore the suitable creative class in korea as the core capital of creative urban growth under creative economy era. We are test to find it for two types of creative class. One is Richard Florida(2002)'s creative class, the other is Mcgranahan & Wojan(2007)'s recasting creative class. Data on 2010 for this paper are generated from Statistics Korea. As a result, we find that the economic geography of creative class is highly concentrated. Furthermore, the geography of creative class is strongly associated with innovation index and high-technology industry location. And Mcgranahan & Wojan(2007)'s creative class is more strong relationship between all dependent variables than Florida's. We also find that it has better power of explanation than Florida's with all of them in regression analysis. According to the results, this study suggests some solutions. First, this study can be provided to government and local policy makers as basis data and practical policy guide to attract creative class. Second, this paper presents standard about a diversity of definitions for creative class in Korea. Third, this research also facilitates follow-up studies about regional economic growth and creative climates.